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State-based event-triggered consensus strategy for Takagi–Sugeno fuzzy fractional-order multiagent systems with switching topologies
ISA Transactions ( IF 7.3 ) Pub Date : 2021-07-17 , DOI: 10.1016/j.isatra.2021.07.022
Taotao Hu 1 , Ju H Park 2 , Zheng He 1 , Xiaojun Zhang 3 , Shouming Zhong 3
Affiliation  

This article addresses the event-triggered consensus problem for Takagi–Sugeno fuzzy fractional-order multiagent systems with switching topologies. First, to effectively avoid the frequent communication among agents, a state-based event-triggered consensus strategy is designed, which uses the local information from neighboring agents at sampling moments. Then, several sufficient conditions, which rely on the fractional derivative number and time delay information, are presented to guarantee the consensus of fractional-order multiagent systems based on Takagi–Sugeno fuzzy model. Moreover, Zeno behaviors are precluded by proving that the interval length of the two consecutive event-triggering moments for each agent is greater than a positive constant. Finally, some numerical examples are presented, which not only demonstrated the rationality of our proposed consensus protocol but also shown that the presented consensus method based on the designed event-triggered control protocol has the advantage for avoiding communication congestion compared to the existing results.



中文翻译:

具有切换拓扑的 Takagi-Sugeno 模糊分数阶多智能体系统的基于状态的事件触发共识策略

本文解决了具有切换拓扑的 Takagi-Sugeno 模糊分数阶多智能体系统的事件触发共识问题。首先,为了有效避免代理之间的频繁通信,设计了一种基于状态的事件触发共识策略,该策略在采样时刻使用来自相邻代理的本地信息。然后,提出了几个依赖分数导数和时延信息的充分条件,以保证基于Takagi-Sugeno模糊模型的分数阶多智能体系统的一致性。此外,通过证明每个代理的两个连续事件触发时刻的间隔长度大于一个正常数,可以排除 Zeno 行为。最后,给出了一些数值例子,

更新日期:2021-07-17
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